WEBVTT 00:00:00.785 --> 00:00:02.665 What if I could present you a story 00:00:02.689 --> 00:00:05.103 that you would remember with your entire body 00:00:05.127 --> 00:00:07.284 and not just with your mind? 00:00:07.308 --> 00:00:09.983 My whole life as a journalist, I've really been compelled 00:00:10.007 --> 00:00:12.318 to try to make stories that can make a difference 00:00:12.342 --> 00:00:14.912 and maybe inspire people to care. 00:00:14.936 --> 00:00:17.262 I've worked in print. I've worked in documentary. 00:00:17.286 --> 00:00:18.555 I've worked in broadcast. 00:00:18.579 --> 00:00:21.641 But it really wasn't until I got involved with virtual reality 00:00:21.665 --> 00:00:24.506 that I started seeing these really intense, 00:00:24.530 --> 00:00:26.514 authentic reactions from people 00:00:26.538 --> 00:00:28.213 that really blew my mind. NOTE Paragraph 00:00:28.237 --> 00:00:32.910 So the deal is that with VR, virtual reality, 00:00:32.934 --> 00:00:35.934 I can put you on scene 00:00:35.958 --> 00:00:37.759 in the middle of the story. 00:00:38.148 --> 00:00:41.632 By putting on these goggles that track wherever you look, 00:00:41.656 --> 00:00:44.584 you get this whole-body sensation, 00:00:44.608 --> 00:00:46.815 like you're actually, like, there. 00:00:47.209 --> 00:00:50.611 So five years ago was about when I really began to push the envelope 00:00:50.635 --> 00:00:53.885 with using virtual reality and journalism together. 00:00:53.909 --> 00:00:56.457 And I wanted to do a piece about hunger. 00:00:56.481 --> 00:00:59.640 Families in America are going hungry, food banks are overwhelmed, 00:00:59.664 --> 00:01:01.719 and they're often running out of food. 00:01:02.330 --> 00:01:05.949 Now, I knew I couldn't make people feel hungry, 00:01:05.973 --> 00:01:09.790 but maybe I could figure out a way to get them to feel something physical. NOTE Paragraph 00:01:10.726 --> 00:01:13.790 So -- again, this is five years ago -- 00:01:13.814 --> 00:01:16.990 so doing journalism and virtual reality together 00:01:17.014 --> 00:01:19.997 was considered a worse-than-half-baked idea, 00:01:20.021 --> 00:01:21.376 and I had no funding. 00:01:21.400 --> 00:01:23.899 Believe me, I had a lot of colleagues laughing at me. 00:01:23.923 --> 00:01:27.713 And I did, though, have a really great intern, 00:01:27.737 --> 00:01:29.975 a woman named Michaela Kobsa-Mark. 00:01:29.999 --> 00:01:31.817 And together we went out to food banks 00:01:31.841 --> 00:01:34.913 and started recording audio and photographs. 00:01:34.937 --> 00:01:36.857 Until one day she came back to my office 00:01:36.881 --> 00:01:39.276 and she was bawling, she was just crying. 00:01:39.300 --> 00:01:41.902 She had been on scene at a long line, 00:01:41.926 --> 00:01:45.871 where the woman running the line was feeling extremely overwhelmed, 00:01:45.895 --> 00:01:48.863 and she was screaming, "There's too many people! 00:01:48.887 --> 00:01:50.783 There's too many people!" 00:01:50.807 --> 00:01:54.362 And this man with diabetes doesn't get food in time, 00:01:54.386 --> 00:01:57.941 his blood sugar drops too low, and he collapses into a coma. 00:01:58.695 --> 00:02:00.227 As soon as I heard that audio, 00:02:00.251 --> 00:02:03.496 I knew that this would be the kind of evocative piece 00:02:03.520 --> 00:02:06.624 that could really describe what was going on at food banks. NOTE Paragraph 00:02:07.290 --> 00:02:10.906 So here's the real line. You can see how long it was, right? 00:02:10.930 --> 00:02:13.557 And again, as I said, we didn't have very much funding, 00:02:13.581 --> 00:02:17.331 so I had to reproduce it with virtual humans that were donated, 00:02:17.355 --> 00:02:21.481 and people begged and borrowed favors to help me create the models 00:02:21.505 --> 00:02:23.664 and make things as accurate as we could. 00:02:23.688 --> 00:02:26.297 And then we tried to convey what happened that day 00:02:26.321 --> 00:02:29.115 with as much as accuracy as is possible. NOTE Paragraph 00:02:29.680 --> 00:02:33.878 (Video) Voice: There's too many people! There's too many people! NOTE Paragraph 00:02:42.340 --> 00:02:45.061 Voice: OK, he's having a seizure. NOTE Paragraph 00:02:59.023 --> 00:03:01.872 Voice: We need an ambulance. NOTE Paragraph 00:03:02.181 --> 00:03:04.198 Nonny de la Peña: So the man on the right, 00:03:04.222 --> 00:03:06.094 for him, he's walking around the body. 00:03:06.118 --> 00:03:08.815 For him, he's in the room with that body. 00:03:09.355 --> 00:03:11.172 Like, that guy is at his feet. 00:03:11.601 --> 00:03:13.808 And even though, through his peripheral vision, 00:03:13.832 --> 00:03:15.903 he can see that he's in this lab space, 00:03:15.927 --> 00:03:20.140 he should be able to see that he's not actually on the street, 00:03:20.164 --> 00:03:23.060 but he feels like he's there with those people. 00:03:23.084 --> 00:03:25.094 He's very cautious not to step on this guy 00:03:25.118 --> 00:03:26.784 who isn't really there, right? NOTE Paragraph 00:03:27.506 --> 00:03:30.609 So that piece ended up going to Sundance in 2012, 00:03:30.633 --> 00:03:34.554 a kind of amazing thing, and it was the first virtual reality film 00:03:34.578 --> 00:03:36.538 ever, basically. 00:03:37.062 --> 00:03:39.023 And when we went, I was really terrified. 00:03:39.047 --> 00:03:41.484 I didn't really know how people were going to react 00:03:41.508 --> 00:03:42.897 and what was going to happen. 00:03:42.921 --> 00:03:45.818 And we showed up with this duct-taped pair of goggles. NOTE Paragraph 00:03:45.842 --> 00:03:49.827 (Video) Oh, you're crying. You're crying. Gina, you're crying. NOTE Paragraph 00:03:49.851 --> 00:03:52.571 So you can hear the surprise in my voice, right? 00:03:52.595 --> 00:03:56.190 And this kind of reaction ended up being the kind of reaction we saw 00:03:56.214 --> 00:03:58.984 over and over and over: 00:03:59.008 --> 00:04:02.714 people down on the ground trying to comfort the seizure victim, 00:04:02.738 --> 00:04:04.658 trying to whisper something into his ear 00:04:04.682 --> 00:04:08.640 or in some way help, even though they couldn't. 00:04:08.664 --> 00:04:11.348 And I had a lot of people come out of that piece saying, 00:04:11.372 --> 00:04:14.096 "Oh my God, I was so frustrated. I couldn't help the guy," 00:04:14.120 --> 00:04:15.841 and take that back into their lives. NOTE Paragraph 00:04:16.999 --> 00:04:18.865 So after this piece was made, 00:04:20.198 --> 00:04:24.007 the dean of the cinema school at USC, the University of Southern California, 00:04:24.031 --> 00:04:28.238 brought in the head of the World Economic Forum to try "Hunger," 00:04:28.262 --> 00:04:29.603 and he took off the goggles, 00:04:29.627 --> 00:04:32.667 and he commissioned a piece about Syria on the spot. 00:04:32.691 --> 00:04:35.604 And I really wanted to do something about Syrian refugee kids, 00:04:35.628 --> 00:04:39.920 because children have been the worst affected by the Syrian civil war. 00:04:40.809 --> 00:04:44.767 I sent a team to the border of Iraq to record material at refugee camps, 00:04:44.791 --> 00:04:47.942 basically an area I wouldn't send a team now, 00:04:47.966 --> 00:04:50.434 as that's where ISIS is really operating. 00:04:50.458 --> 00:04:53.164 And then we also recreated a street scene 00:04:53.188 --> 00:04:56.711 in which a young girl is singing and a bomb goes off. 00:04:57.340 --> 00:04:59.419 Now, when you're in the middle of that scene 00:04:59.443 --> 00:05:01.997 and you hear those sounds, 00:05:02.021 --> 00:05:04.314 and you see the injured around you, 00:05:04.338 --> 00:05:07.338 it's an incredibly scary and real feeling. 00:05:07.362 --> 00:05:11.902 I've had individuals who have been involved in real bombings tell me 00:05:11.926 --> 00:05:15.401 that it evokes the same kind of fear. NOTE Paragraph 00:05:16.211 --> 00:05:20.730 [The civil war in Syria may seem far away] 00:05:22.078 --> 00:05:28.344 [until you experience it yourself.] NOTE Paragraph 00:05:29.062 --> 00:05:36.013 (Girl singing) NOTE Paragraph 00:05:36.037 --> 00:05:38.815 (Explosion) NOTE Paragraph 00:05:38.839 --> 00:05:43.076 [Project Syria] 00:05:43.988 --> 00:05:45.985 [A virtual reality experience] NOTE Paragraph 00:05:46.653 --> 00:05:48.721 NP: We were then invited to take the piece 00:05:48.745 --> 00:05:50.799 to the Victoria and Albert Museum in London. 00:05:50.823 --> 00:05:52.180 And it wasn't advertised. 00:05:52.204 --> 00:05:54.528 And we were put in this tapestry room. 00:05:54.552 --> 00:05:55.894 There was no press about it, 00:05:55.918 --> 00:05:59.655 so anybody who happened to walk into the museum to visit it that day 00:05:59.679 --> 00:06:01.442 would see us with these crazy lights. 00:06:01.466 --> 00:06:05.141 You know, maybe they would want to see the old storytelling of the tapestries. 00:06:05.165 --> 00:06:07.632 They were confronted by our virtual reality cameras. 00:06:08.513 --> 00:06:11.640 But a lot of people tried it, and over a five-day run 00:06:11.664 --> 00:06:16.204 we ended up with 54 pages of guest book comments, 00:06:16.228 --> 00:06:18.564 and we were told by the curators there 00:06:18.588 --> 00:06:21.177 that they'd never seen such an outpouring. 00:06:21.201 --> 00:06:25.828 Things like, "It's so real," "Absolutely believable," 00:06:25.852 --> 00:06:28.312 or, of course, the one that I was excited about, 00:06:28.336 --> 00:06:31.185 "A real feeling as if you were in the middle of something 00:06:31.209 --> 00:06:33.471 that you normally see on the TV news." NOTE Paragraph 00:06:34.463 --> 00:06:37.939 So, it works, right? This stuff works. 00:06:38.297 --> 00:06:42.092 And it doesn't really matter where you're from or what age you are -- 00:06:42.116 --> 00:06:44.319 it's really evocative. NOTE Paragraph 00:06:44.343 --> 00:06:48.295 Now, don't get me wrong -- I'm not saying that when you're in a piece 00:06:48.319 --> 00:06:51.199 you forget that you're here. 00:06:51.223 --> 00:06:54.398 But it turns out we can feel like we're in two places at once. 00:06:54.422 --> 00:06:57.572 We can have what I call this duality of presence, 00:06:57.596 --> 00:07:02.453 and I think that's what allows me to tap into these feelings of empathy. 00:07:02.477 --> 00:07:03.628 Right? NOTE Paragraph 00:07:04.041 --> 00:07:07.232 So that means, of course, 00:07:07.256 --> 00:07:12.151 that I have to be very cautious about creating these pieces. 00:07:12.175 --> 00:07:16.437 I have to really follow best journalistic practices 00:07:16.461 --> 00:07:18.596 and make sure that these powerful stories 00:07:18.620 --> 00:07:20.206 are built with integrity. 00:07:20.230 --> 00:07:22.603 If we don't capture the material ourselves, 00:07:22.627 --> 00:07:27.595 we have to be extremely exacting 00:07:27.619 --> 00:07:30.920 about figuring out the provenance and where did this stuff come from 00:07:30.944 --> 00:07:32.252 and is it authentic? NOTE Paragraph 00:07:32.276 --> 00:07:33.633 Let me give you an example. 00:07:33.657 --> 00:07:36.594 With this Trayvon Martin case, this is a guy, a kid, 00:07:36.618 --> 00:07:40.721 who was 17 years old and he bought soda and a candy at a store, 00:07:40.745 --> 00:07:44.221 and on his way home he was tracked by a neighborhood watchman 00:07:44.245 --> 00:07:47.110 named George Zimmerman who ended up shooting and killing him. 00:07:47.657 --> 00:07:48.809 To make that piece, 00:07:48.833 --> 00:07:52.435 we got the architectural drawings of the entire complex, 00:07:52.459 --> 00:07:57.228 and we rebuilt the entire scene inside and out, based on those drawings. 00:07:57.252 --> 00:07:58.547 All of the action 00:07:58.571 --> 00:08:03.490 is informed by the real 911 recorded calls to the police. 00:08:04.411 --> 00:08:07.188 And interestingly, we broke some news with this story. 00:08:07.212 --> 00:08:11.187 The forensic house that did the audio reconstruction, Primeau Productions, 00:08:11.211 --> 00:08:13.157 they say that they would testify 00:08:13.181 --> 00:08:15.856 that George Zimmerman, when he got out of the car, 00:08:15.880 --> 00:08:18.712 he cocked his gun before he went to give chase to Martin. NOTE Paragraph 00:08:20.013 --> 00:08:23.418 So you can see that the basic tenets of journalism, 00:08:23.442 --> 00:08:25.315 they don't really change here, right? 00:08:25.339 --> 00:08:28.743 We're still following the same principles that we would always. 00:08:28.767 --> 00:08:32.070 What is different is the sense of being on scene, 00:08:32.094 --> 00:08:34.435 whether you're watching a guy collapse from hunger 00:08:34.459 --> 00:08:36.944 or feeling like you're in the middle of a bomb scene. 00:08:36.968 --> 00:08:41.916 And this is kind of what has driven me forward with these pieces, 00:08:41.940 --> 00:08:43.663 and thinking about how to make them. 00:08:43.687 --> 00:08:47.882 We're trying to make this, obviously, beyond the headset, more available. 00:08:47.906 --> 00:08:50.833 We're creating mobile pieces like the Trayvon Martin piece. 00:08:50.857 --> 00:08:54.406 And these things have had impact. 00:08:54.430 --> 00:08:57.002 I've had Americans tell me that they've donated, 00:08:57.026 --> 00:09:01.420 direct deductions from their bank account, money to go to Syrian children refugees. 00:09:01.444 --> 00:09:03.777 And "Hunger in LA," well, it's helped start 00:09:03.801 --> 00:09:06.230 a new form of doing journalism 00:09:06.254 --> 00:09:09.350 that I think is going to join all the other normal platforms 00:09:09.374 --> 00:09:10.525 in the future. NOTE Paragraph 00:09:10.549 --> 00:09:11.713 Thank you. NOTE Paragraph 00:09:11.737 --> 00:09:14.149 (Applause)